Erich P. Huang
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Statistical Methods in Clinical Trials, Medical Imaging Techniques and Applications, Cancer Genomics and Diagnostics, MRI in cancer diagnosis
Most-Cited Works
- → RECIST 1.1—Update and clarification: From the RECIST committee(2016)1,839 cited
- → Imaging biomarker roadmap for cancer studies(2016)1,057 cited
- → MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays(2016)465 cited
- → Metrology Standards for Quantitative Imaging Biomarkers(2015)405 cited
- → RECIST 1.1 – Standardisation and disease-specific adaptations: Perspectives from the RECIST Working Group(2016)368 cited
- → Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set(2016)355 cited
- → Criteria for the translation of radiomics into clinically useful tests(2022)206 cited
- → Quantitative imaging biomarkers: A review of statistical methods for computer algorithm comparisons(2014)169 cited
- → Radiogenomics of clear cell renal cell carcinoma: preliminary findings of The Cancer Genome Atlas–Renal Cell Carcinoma (TCGA–RCC) Imaging Research Group(2015)101 cited
- → Using computer‐extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage(2015)73 cited